Case Study: Polkadot Anti-Scam Team improves scam detection and fund tracing with Merkle Science Tracker

A Merkle Science Case Study

Preview of the Polkadot Anti-Scam Team Case Study

Polkadot Anti-Scam Team reported 515 scam addresses in 2024 with Merkle Science

The Polkadot Anti-Scam Team, a decentralized community initiative, faced challenges in tracking sophisticated, multi-chain scams due to complex fund flows and a lack of Polkadot-specific investigative tools. To enhance their capabilities in protecting the Polkadot ecosystem, they partnered with Merkle Science and implemented its Tracker platform.

Merkle Science’s solution provided advanced on-chain visualization, multi-chain support, and efficient address clustering, which streamlined investigations. This enabled the team to identify and report approximately 515 scam-related addresses in 2024, leading to frozen funds and building greater trust within the Polkadot ecosystem.


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